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Haus is a San Francisco-based decision science and marketing platform founded in 2021. The company specializes in helping businesses measure the impact of their marketing spend through advanced techniques like causal inference, AI-powered incrementality experiments, and causal marketing mix modeling. With a mission to democratize access to these tools, Haus enables data-driven marketing decisions grounded in scientific rigor. The platform features three core offerings: GeoLift, which provides on-demand geo-experiments for real-time marketing incrementality measurement; Causal MMM for media planning and budget optimization; and Causal Attribution, which delivers automated insights on business outcomes from regional experiments. Haus employs advanced econometric modeling to create synthetic control groups, allowing brands to run multi-cell experiments and optimize budget allocation effectively. The company is supported by a team of PhD economists and data scientists, and it has raised $20 million in equity funding.